Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage
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Published:2023-04-26
Issue:8
Volume:16
Page:2261-2276
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Ma Yimian, Yue XuORCID, Sitch Stephen, Unger NadineORCID, Uddling Johan, Mercado Lina M.ORCID, Gong ChengORCID, Feng Zhaozhong, Yang Huiyi, Zhou HaoORCID, Tian Chenguang, Cao Yang, Lei Yadong, Cheesman Alexander W.ORCID, Xu Yansen, Duran Rojas Maria CarolinaORCID
Abstract
Abstract. A major limitation in modeling global ozone (O3) vegetation damage has
long been the reliance on empirical O3 sensitivity parameters derived
from a limited number of species and applied at the level of plant
functional types (PFTs), which ignore the large interspecific variations
within the same PFT. Here, we present a major advance in large-scale
assessments of O3 plant injury by linking the trait leaf mass per area
(LMA) and plant O3 sensitivity in a broad and global perspective.
Application of the new approach and a global LMA map in a dynamic global
vegetation model reasonably represents the observed interspecific responses
to O3 with a unified sensitivity parameter for all plant species.
Simulations suggest a contemporary global mean reduction of 4.8 % in gross
primary productivity by O3, with a range of 1.1 %–12.6 % for varied
PFTs. Hotspots with damage >10 % are found in agricultural
areas in the eastern US, western Europe, eastern China, and India,
accompanied by moderate to high levels of surface O3. Furthermore, we
simulate the distribution of plant sensitivity to O3, which is highly
linked with the inherent leaf trait trade-off strategies of plants,
revealing high risks for fast-growing species with low LMA, such as crops,
grasses, and deciduous trees.
Funder
Natural Environment Research Council National Natural Science Foundation of China
Publisher
Copernicus GmbH
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